The purpose of this course is three-fold. First, students are introduced to the basics of data acquisition, cleaning and formatting in preparation for analysis. Second, students are introduced to techniques that allow for basic statistical summary and data visualization techniques. Third, students are introduced to basic platform independent reporting techniques that help them present results in an easy to understand and digest manner.  The open source program R will be used in the course.

Study plan information:
This course is part of the Global Competence module, which is mandatory for master's students following the new study plans (from 2018-2019 onwards) and who have not previously completed any major subject courses on advanced level. The Global Competence module will be included in the 90 credits major subject/track specific studies (at least 60 credits advanced studies in the major subject + 30 additonal credits according to the subjects' study plan).

Student who have begun their studies before 1.8.2018 can take the Global Competence module as two different parts of their degree:
- New seminar course 5 credits (given from 2019-2020 onwards) + Global competence module 5 credits both within the 90 credits major subject/track specific studies OR
- old seminar course 12 credits (given last time 2018-2019) within 90 credits major subject, and Global competence module 5 credits outside the 90 credits major subject/track specific studies as free electives.